{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bringing in the generator function from utils.py:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "def str_date_gen(y1=False, y2=False, m1=1, m2=12, d1=1, d2=31):\n",
    "    \"\"\"Returns a generator of valid date strings in the format \"yyyy-mm-dd\".\n",
    "\n",
    "    Useful when used in conjunction with `.isin()` method to filter Dataframes \n",
    "    on the `date` column, which is a string dtype. Returns all valid dates in current \n",
    "    year by default.\n",
    "    \\n.\n",
    "    \"\"\"\n",
    "\n",
    "    y1 = datetime.datetime.now().year if y1 is False else y1\n",
    "    y2 = datetime.datetime.now().year if y2 is False else y2\n",
    "\n",
    "    def get_date(y, m, d):\n",
    "        try:\n",
    "            return str(datetime.date(y, m, d))\n",
    "        except ValueError:\n",
    "            return 'skip'\n",
    "    return (\n",
    "        get_date(y,m,d) for y in range(\n",
    "            y1, y2 + 1) for m in range(\n",
    "            m1, m2 + 1) for d in range(\n",
    "            d1, d2 + 1) if get_date(y, m, d) != 'skip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load historical data of ML predictions vs competing forecasters' predictions vs actual recorded values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "dbp = pd.read_csv('/Users/Alex/Coding/weather_db/Data/prediction_db_analysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute rows of prediction errors for ML model (ML), The Weather Network (TWN), and Environment Canada (EC). We aren't taking the absoulte values of the errors here because we're interested in seeing if there's a bias (i.e. a systematic offset in prediction error) for any of the forecasters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "dbp['ML_err'] = dbp.predictions - dbp.high\n",
    "dbp['TWN_err'] = dbp.TWN_high_T1 - dbp.high\n",
    "dbp['EC_err'] = dbp.EC_high_T1 - dbp.high\n",
    "dbp['norm_err'] = dbp.rolling_normal_high - dbp.high"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ML_err</th>\n",
       "      <th>TWN_err</th>\n",
       "      <th>EC_err</th>\n",
       "      <th>norm_err</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>16160.000000</td>\n",
       "      <td>16160.000000</td>\n",
       "      <td>16160.000000</td>\n",
       "      <td>16160.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-0.086495</td>\n",
       "      <td>-1.414078</td>\n",
       "      <td>-1.264264</td>\n",
       "      <td>-0.949189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.542644</td>\n",
       "      <td>2.513040</td>\n",
       "      <td>3.118436</td>\n",
       "      <td>6.135192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-31.597757</td>\n",
       "      <td>-31.000000</td>\n",
       "      <td>-33.000000</td>\n",
       "      <td>-37.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-1.497840</td>\n",
       "      <td>-2.700000</td>\n",
       "      <td>-2.800000</td>\n",
       "      <td>-5.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-0.042542</td>\n",
       "      <td>-1.200000</td>\n",
       "      <td>-1.100000</td>\n",
       "      <td>-1.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.383511</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>3.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>16.483165</td>\n",
       "      <td>19.900000</td>\n",
       "      <td>24.600000</td>\n",
       "      <td>22.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ML_err       TWN_err        EC_err      norm_err\n",
       "count  16160.000000  16160.000000  16160.000000  16160.000000\n",
       "mean      -0.086495     -1.414078     -1.264264     -0.949189\n",
       "std        2.542644      2.513040      3.118436      6.135192\n",
       "min      -31.597757    -31.000000    -33.000000    -37.000000\n",
       "25%       -1.497840     -2.700000     -2.800000     -5.100000\n",
       "50%       -0.042542     -1.200000     -1.100000     -1.200000\n",
       "75%        1.383511      0.000000      0.300000      3.100000\n",
       "max       16.483165     19.900000     24.600000     22.600000"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbp[dbp.date.isin(get_dates(y1=2018))][['ML_err', 'TWN_err', 'EC_err', 'norm_err']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1131b2d68>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xrx9169alffv2nDx5kvj4eGJiYmjQoAFdu3blyJEjAFx//fU8+eSTREdHM2LECPr06cMj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+LImSM8NOkhwgLDfBAnnvr4UBmF5fVa9STSA6RGpTIiegRrXWfA3QIFX5hOEg9FhgRy48RBrNtb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\nAVyffj2VTZV8UvyJgSgxaURcb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yip5KO9R5k0MJqQFlrxLCLiNZLGOV4bWHoX2TKSUVGj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ah4b+ZrUjCSGEqMGkiPJw306EU+vh0WNg9FE7TQWXLZe5aclNNK7TmI+HfoxWI2fkral2nLrI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\n7754kqVVF2oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dbp[dbp.date.isin(get_dates(y1=2018))].plot(y=['ML_err', 'TWN_err', 'EC_err', 'norm_err'], kind='kde', figsize=(20,20), xlim=(-5,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The summary statistics and kernel density estimation plot shown above demonstrate that our 2 competing forecasters have a bias in their prediction errors, whereas our ML model does not (relatively speaking). See README `Update` section for more details under `Feb 2, 2019`."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
